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SDU Meeting

petermr edited this page Dec 12, 2022 · 8 revisions

Attending

Meeting date and time: 12 Dec, 13:15 - 14:00 UTC

Please add who will attend from #semanticClimate:

  • Simon Worthington

  • Johannes Wilm (external from Fidus Writer - for CSS Typesetting expertise; and local to SDU in Lund Sweden)

  • Peter Murray Rust

  • Gitanjali Yadav

    • Interns
  • Note: SW has invited Johannes Wilm to the meeting as SW and JW collaborate on CSS Typesetting. CSS Typesetting is part of the workflow for replacing destructive PDFs in the scientific literature workflow. Typesetting equal to PDFs can be achieved with CSS Typesetting in a browser which maintains semantic intergrity. e.g., Digital Publications in Culture

From SDU:

  • Thomas Kaarsted, Deputy Head, SDUB, SDU Citizen Science Knowledge Center LIBER interview
    • colleagues

Agenda (45 mins)

Presentation part to last no more than 20 mins

  • Intro from SDU lead, semanticClimate lead (GY, PMR)
  • semanticClimate - Intern short demos TBC
  • Discussion

Material to present

  • Jupyter Notebook (Priti Chahal to present, work with Ananya Singha)
  • IPCC Chapters 3,5,8 (Sunag, Karthikeyan, Priti)
  • Dictionaries

About the meeting

  • SDU are interested in how to use the semanticClimate tools in youth citizen science projects. (via Jupyter Notebooks)

  • We need to demonstrate for them how semanticClimate tooling works and the competences needed to run it. (Show dictionaries on Github)

  • The SDU team are interested to see if this is something they could run themselves and what it would take to do that.

  • SDU's target group for citizen science are pre-university young people.

SDU Youth Citizen Science projects

Note

(PMR)

The main challenges to adoption are:

  • we need a good tutorial introduction
  • a reliable distribution / especially for windows
  • enough robust dictionaries

YouTube video

https://youtu.be/7gWHprc-h1k

PMR thoughts

  • what level of youth?
  • what sort of class projects? Let's organize this round chapter8 (urban) or 7 (agriculture) or ...
  • can we create an example for Denmark? Might have to include pygetpapers and search for Denmark-specific information.
  • appeal to the hacker community among the youth - "Python for Climate". Maybe Ayush can give some ideas? I think it's just before he gets free.